• DocumentCode
    2162910
  • Title

    An Empirical Study on Diagnosing and Overcoming Business Gene´s Vulnerability

  • Author

    Yan, Ming ; Zhou, Zhan

  • Author_Institution
    Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Similar to the genes of creature organism, business genes determine all traits of enterprise. Defects in business gene will result in its vulnerability consequentially, as well reduce its immunity, and then, increase the probability of business crisis or risk. Therefore, it is very crucial to maintain business gene´s perfectness and robustness, realize business´s resistance to vicious environmental inducement by detecting and repairing business´s defected genes, and overcoming business gene´s vulnerability. In this paper, we try to find how to reduce the factors which affect business gene´s vulnerability as well extract the smallest diagnosis rule employing Bayesian Rough Set model, to diagnose the target business gene´s vulnerability. Based on the results, we find that, the specific gene segments located on the soft chain of business gene, critically impact business gene´s robustness or vulnerability. That´s why, in this paper, it´s strongly recommended that enhancing a business soft competence is really vital to overcome business gene´s vulnerability.
  • Keywords
    Bayes methods; business continuity; probability; risk analysis; rough set theory; Bayesian rough set model; business crisis probability; business gene defects; business gene perfectness; business gene robustness; business gene vulnerability; business immunity; business risk probability; business soft competence; Bayesian methods; DNA; Decision making; Maintenance engineering; Robustness; Strategic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576780
  • Filename
    5576780